The Somaliland Household Survey aimed to provide statistics at the national level and a disaggregation between the capital, Hergaisa and the rest of the country (combining the rural and other urban area).The World Bank contracted Kimetrica International to conduct two surveys. Somaliland does not have a census-based frame to use for designing a representative sample survey. The objectives of the SHS include:
1. To provide data from different sources for different reasons. The household survey was designed to provide consumption data, which would be used to compute consumption based poverty estimates.
2. To provide baseline data to be used for computing indicators developed by finance and private development sector (The World Bank) in collaboration with the International Finance Corporation (IFC) and were designed to provide country comparable statistics on the business environment.
During the preparatory phases for the SHS 2013, it was felt that this survey of villages was not the most accurate given the elapsed time that had passed and the likelihood that the population centers may have shifted (given climate, political and cultural realities).There has been an explicit demand from various Somaliland parties for socioeconomic data collection and analysis. Private sector development during and soon after the conflict has gained increasing attention in Somaliland, given the important contribution of the private sector to have peace. Buildings and state buildings are seen as a stabilizing economic force and source of sustainable growth. The private sector plays a role in employment provision.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
The study includes:
- Household demographic characteristics
- Health facilities
- Service availability
- Food consumption
- Conflict and displacement
- Community groups
Producers and sponsors
World Bank Group
World Bank Group
The Somaliland Household Survey was administered to a representative sample of households. A total of 1,843 households were visited of which 1,726 were interviewed. During the design phase it was estimated that a sample size of about 1,700 households might provide the required statistical power to compute the consumption aggregate and subsequent poverty line.
Initially the selection of 12 households per sample cluster (PSU1) was considered.
The survey used a two-stage sampling design. At the first stage 192 enumeration areas were selected. At te second stage, it was decided to reduce the number of sample households per cluster (PSU) to 9 and increase the number of sample clusters in order to reduce the corresponding design effects and increase the level of precision. Since the survey was not an explicit longitudinal baseline study (a panel type survey), attrition of the sample was not a primary consideration.
The sample frame used was the 2012 cartographic list of enumeration areas.
Three primary strata were defined as: rural, Hergaisa and other urban areas. The population proportion varied by stratum, and the general agreement in informal discussions was that about 50% of the population was urban and 50% were rural.
Dates of Data Collection
Data Collection Mode
The SHS was comprised of one survey
- The Household Questionnaire
The use of this dataset must be acknowledged using a citation which would include:
- the identification of the Primary Investigator (including country name)
- the full title of the survey and its acronym (when available), and the year(s) of implementation
- the survey reference number
- the source and date of download (for datasets disseminated online)
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.